Is a switch from R to Python worth it?
I want to reframe your question.

Don't think about switching, think about adding.

In data science you'll be able to go very far with either python or r but you'll go farthest with both.

Python and r integrate very well, thanks to the reticulate package. I often tidy data in r because it is easier for me, train a model in python to benefit from superior speed and visualize the outcomes in r in beautiful ggplot all in one notebook!

If you already know r there is no sense in abandoning it, use it where sensible and easy to you. But it is 100% a good idea to add python for many uses.

Once you feel comfortable in both you'll have  a workflow that fits you best dominated by your favorite language.